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ON-DEMAND WEBINAR


Mitigating Risk Using Controversies
Derived from Social Media and News






Learn how early detection of controversies can add value to your investment process.

Controversies, defined as negative issues associated with a company or country, cover a wide range of topics, from management matters and legal problems, to labor issues and environmental events. 

While some controversies are well-known, others remain hidden until they are revealed through social media and news.

Tune into this on-demand webinar to find out how early detection of controversies through sentiment analysis can help you mitigate risk and improve performance.  

We look "under the hood" at controversies scores available through Refinitiv MarketPsych ESG, a powerful sentiment analytics tool that uses advanced natural language processing to provide numerical ESG insights based on real-time news and social media monitoring. 
Who this is valuable for:

This 60 minute on-demand webinar is valuable for both quant and discretionary investors, as well as risk managers looking to incorporate sentiment scores into their investment strategies.

You will see how sentiment analytics — specifically, controversies scores — can impact portfolio risk and overall performance.

Our clients have found controversies scores to be valuable in enhancing portfolio outcomes, and we are pleased to have Grant Wang, Senior Vice-President at AGF Investments, on this webinar to speak first-hand to the benefits of the data.

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You can adjust your preferences at any time through the preference link in any electronic communication that you receive from us.
Speakers:
Atiya Sharmin

Customer Success Manager, Quant & Feeds, Refinitiv

Atiya Sharmin is a Customer Success Manager for Quant & Feeds at Refinitiv. Atiya is an experienced sales and relationship management professional. Prior to joining Refinitiv in 2018, Atiya was with the Carlyle Group’s Investor Relations team and Credit Suisse’s Prime Finance team. Atiya has also taken on consulting projects for companies in the technology and data science space. Atiya holds a Bachelor of Science in Business Management (Finance Concentration) from Babson College, MA.
Richard Goldman

Director, Sales Strategy & Execution, Quantitative Analytics, Refinitiv

Richard is the Global Director, Sales Strategy & Execution for Refinitiv’s Quant & Feeds Business, which includes investment analytics, real-time and historical data feeds for structured and unstructured data, and platforms. Prior to this, he ran Thomson Reuters’ Global Quantitative Consulting and Support division.

Richard’s domain expertise in systematic and discretionary investment management was attained over a 30-year career as a Portfolio Manager and COO overseeing multibillion-dollar funds at Citibank, Tykhe Capital and Guardian Life.
Dr. Richard Peterson

CEO, MarketPsych

Richard Peterson is CEO of MarketPsych Data which produces psychological and macroeconomic data derived from text analytics of news and social media. MarketPsych’s data is consumed by the world’s largest hedge funds, banks, and governments. Dr. Peterson is psychiatrist and an award-winning financial writer, an associate editor of the Journal of Behavioral Finance, has published widely in academia, and performed postdoctoral neuroeconomics research at Stanford University. 
Grant Wang, M.A. (Econ.), Ph.D., CFA

Senior Vice-President, Co-CIO AGFiQ Quantitative Investing, Head of Research AGF Investments Inc.

Grant Wang is Senior Vice-President and Co-CIO AGFiQ Quantitative Investing, Head of Research at AGF Investments Inc. (AGF). Grant helps lead AGF’s quantitative investment platform, AGFiQ, by developing, enhancing and managing quantitative investment strategies, and serves as Head of Research. AGFiQ’s team approach is grounded in the belief that investment outcomes can be improved by assessing and targeting the factors that drive market returns.

Prior to joining AGF, Grant spent seven years as a lead quantitative researcher for one of Canada's largest pension funds. He has been involved with utilizing big data and developing predictive statistical models for the financial industry since 2001. Grant has a B.A. and M.A. in Economics from Nankai University, and a Ph.D. in Economics from the University of Western Ontario. He is a CFA® charterholder.